Scientific article
Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas
Published inComputers & geosciences, vol. 193, p. 105707
Publication date2024-11
Research groups
Funding
- Ministero dell’Istruzione, dell’Università e della Ricerca [202037YPCZ_001]
- Swiss National Science Foundation - Quantifying the thermo-chemical evolution of magma reservoirs using mineral chemistry: a combined experimental and statistical approach [184632]
- European Commission - Forecasting the recurrence rate of volcanic eruptions [677493]
Citation (ISO format)
ÁGREDA-LÓPEZ, Mónica et al. Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas. In: Computers & geosciences, 2024, vol. 193, p. 105707. doi: 10.1016/j.cageo.2024.105707
Main files (1)
Article (Published version)
Identifiers
- PID : unige:187513
- DOI : 10.1016/j.cageo.2024.105707
Additional URL for this publicationhttps://linkinghub.elsevier.com/retrieve/pii/S0098300424001900
Journal ISSN0098-3004
